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WEVJ
Special Issues
Data Exchange between Vehicle and Power System for Optimal Charging
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Data Exchange between Vehicle and Power System for Optimal Charging

A special issue of World Electric Vehicle Journal (ISSN 2032-6653).

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 1092

Special Issue Editors

Dr. Jennifer Leijon

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Guest Editor
Division of Electricity, Department of Electrical Engineering, Uppsala University, 75236 Uppsala, Sweden
Interests: electric vehicles; charging; renewable energy systems
Dr. Boel Ekergård

E-Mail Website
Guest Editor
Division of Industrial Engineering and Management, Electrical- and Mechanical Engineering, University West, Trollhättan, Sweden
Interests: electric vehicles; electric motors; renewable energy systems
Dr. Valeria Castellucci

E-Mail Website
Guest Editor
Division of Electricity, Department of Electrical Engineering, Uppsala University, 75236 Uppsala, Sweden
Interests: electric vehicles; charging; renewable energy systems

Special Issue Information

Dear Colleagues, 

The data sharing between charging/discharging electric vehicles and power systems is important for a successful interaction of the vehicles with the grid. Information exchange is also needed at the design stage, as well as in the control of the electric vehicle motor and battery system. Moreover, data resolution, security, and sustainability aspects need to be taken into account. In the near future, we will likely see different types of electrified vehicles on the market (trucks, cars, boats, aircraft, autonomous vehicles, etc.), new designs in propulsion systems, and smart charging strategies (cable charging, wireless charging, battery swapping, V2G, high-power charging, etc.) for different applications and in different environments (buildings, airports, construction sites, etc.).  

In this context, we welcome you to submit manuscripts in areas such as, but not limited to:

  • Data exchange between electric vehicles and power systems.
  • Data sharing when implementing different charging strategies.
  • Interaction between the motor and the battery system with respect to, e.g., regenerative charging.
  • Vehicle-to-grid (V2G), vehicle-to-everything (V2X), etc., including pros and cons. Smart charging strategies, algorithms, and charging standards.
  • Energy system modelling, including, e.g., renewable energy systems, FEM or real-time simulations, and experimental work.
  • Energy management systems.
  • Security and safety aspects.
  • Equipment and measurement systems for vehicle-grid interaction.

Dr. Jennifer Leijon
Dr. Boel Ekergård
Dr. Valeria Castellucci
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. World Electric Vehicle Journal is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • electric vehicle charging
  • data exchange
  • power system
  • electric motor
  • security
  • vehicle-to-everything
  • vehicle-to-grid
  • electric vehicle battery system
  • renewable energy systems

Published Papers (1 paper)

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Research

27 pages, 4090 KiB  
Article
An Effective Strategy for Achieving Economic Reliability by Optimal Coordination of Hybrid Thermal–Wind–EV System in a Deregulated System
by Ravindranadh Chowdary Vankina, Sadhan Gope, Subhojit Dawn, Ahmed Al Mansur and Taha Selim Ustun
World Electr. Veh. J. 2024, 15(7), 289; https://doi.org/10.3390/wevj15070289 - 28 Jun 2024
Viewed by 321
Abstract
This paper describes an effective operating strategy for electric vehicles (EVs) in a hybrid facility that leverages renewable energy sources. The method is to enhance the profit of the wind–thermal–EV hybrid plant while maintaining the grid frequency (fPG) and energy level [...] Read more.
This paper describes an effective operating strategy for electric vehicles (EVs) in a hybrid facility that leverages renewable energy sources. The method is to enhance the profit of the wind–thermal–EV hybrid plant while maintaining the grid frequency (fPG) and energy level of the EV battery storage system. In a renewable-associated power network, renewable energy producers must submit power supply proposals to the system operator at least one day before operations begin. The market managers then combine the power plans for the next several days based on bids from both power providers and distributors. However, due to the unpredictable nature of renewable resources, the electrical system cannot exactly adhere to the predefined power supply criteria. When true and estimated renewable power generation diverges, the electrical system may experience an excess or shortage of electricity. If there is a disparity between true and estimated wind power (TWP, EWP), the EV plant operates to minimize this variation. This lowers the costs associated with the discrepancy between actual and projected wind speeds (TWS, EWS). The proposed method effectively reduces the uncertainty associated with wind generation while being economically feasible, which is especially important in a deregulated power market. This study proposes four separate energy levels for an EV battery storage system (EEV,max, EEV,opt, EEV,low, and EEV,min) to increase system profit and revenue, which is unique to this work. The optimum operating of these EV battery energy levels is determined by the present electric grid frequency and the condition of TWP and EWP. The proposed approach is tested on a modified IEEE 30 bus system and compared to an existing strategy to demonstrate its effectiveness and superiority. The entire work was completed using the optimization technique called sequential quadratic programming (SQP). Full article
(This article belongs to the Special Issue Data Exchange between Vehicle and Power System for Optimal Charging)
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